distilbert-fa-zwnj-base-finetuned-2epoch-pquad
This model is a fine-tuned version of HooshvareLab/distilbert-fa-zwnj-base on the pquad dataset. It achieves the following results on the evaluation set:
- Loss: 1.1089
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1522 | 1.0 | 4003 | 1.1435 |
| 0.8579 | 2.0 | 8006 | 1.1089 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2